Author comment: Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale — R0/PR1 DOI Creative Commons
Marcan Graffin

Опубликована: Май 22, 2023

Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2020). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Язык: Английский

Assessing shorelines extracted from satellite imagery using coincident terrestrial lidar linescans DOI
S. Brown, Annika O’Dea, Ian Conery

и другие.

Coastal Engineering, Год журнала: 2025, Номер unknown, С. 104718 - 104718

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Distinct shoreline behaviour along storm‐dominated and geologically controlled coastal barriers DOI Open Access
Vincent Kümmerer, Óscar Ferreira, Carlos Loureiro

и другие.

Earth Surface Processes and Landforms, Год журнала: 2025, Номер 50(4)

Опубликована: Март 25, 2025

Abstract Contemporary shoreline change is driven by a complex combination of factors, and as such often highly variable along the coast. While differences in beach morphology can explain some variability change, geological constraints imposed coastal geology are overlooked. This work examines influence foreshore configurations with varying degrees non‐dynamic control, which analysed hydrodynamic forcing to investigate seasonal multiannual evolution five barriers Outer Hebrides, Western Scotland. These characterised strongly geologically constrained exposed storm‐dominated wave climate. Due temporal interval between available cloud‐free Planet Scope images, monthly averaged vegetation lines from 2016 2023 were derived satellite imagery position indicator using an automated approach validated visual inspection. The satellite‐derived have sub‐pixel accuracy root mean square error 3 m. Changes statistically correlated extreme storm conditions, both water levels conditions. However, control exerted configuration results distinct inter‐ intra‐site behaviour, lower observed barrier sectors fronted rocky foreshores, compared sediment‐rich foreshores. small but significant accreting trend (mean 0.4 m/yr), likely representing recovery winter storms that impacted northern European coasts 2013 2015. demonstrate considering controls assessments improves understanding barriers, allowing identify storm‐driven behaviour according degree control.

Язык: Английский

Процитировано

0

Wave driven cross shore and alongshore transport reveal more extreme projections of shoreline change in island environments DOI Creative Commons

Richelle U. Moskvichev,

Anna B. Mikkelsen,

Tiffany R. Anderson

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 28, 2025

Coastal erosion, intensified by sea level rise, poses significant threats to coastal communities in Hawaiʻi and similar island communities. This study projects long-term shoreline change on the Hawaiian Island of O'ahu using data-assimilated CoSMoS-COAST model. models four key processes: (1) Alongshore transport, (2) Recession due (3) Cross-shore transport waves, (4) Residual processes represented a linear trend term. marks first application for an oceanic equatorial with narrow beaches dynamic wave climate. The model is informed novel combination data derived from high-resolution imagery Planet, Sentinel-2, Landsat satellites, wave-climate hindcasts specific Hawai'i, regional beach-slope surveys. On northern Oʻahu beach, achieved root mean square error 9.4 m between observations output. predicts that 81% O'ahu's sandy beach coastline could experience loss 2100; 39.8% this happening 2030. represents increase, 43.3%, net landward compared previous erosion forecasts, 0.3 rise (2050). Additionally, such as cross-shore equilibrium alongshore sediment play large contribution gross within next decade, particularly O 'ahu's north west shores. In long term, we find recession residual dominate, but dynamic, wave-driven (longshore transport) still account 34% present 2100. We assert are crucial addition accurate modeling environments. These findings have implications planning development, suggesting updates policies rely upon forecasting, highlights importance incorporating other Pacific islands.

Язык: Английский

Процитировано

0

Assessing Satellite-Derived Shoreline Detection on a Mesotidal Dissipative Beach DOI Creative Commons
Carlos Cabezas-Rabadán, Jaime Almonacid-Caballer, Javier Benavente

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(4), С. 617 - 617

Опубликована: Фев. 7, 2024

The accuracy and robustness of the shoreline definition from satellite imagery on different coastal types are crucial to adequately characterising beach morphology dynamics. However, generic widespread application satellite-derived algorithms is limited by lack robust methods parameter assessments. This work constitutes a quantitative comprehensive assessment waterlines Sentinel-2 using novel SAET tool (Shoreline Analysis Extraction Tool) exposed mesotidal La Victoria (Cádiz, SW Spain). diverse parameters available in SAET, such as water indexes, thresholding methods, morphological filters, kernel sizes, were combined define water/land interface positions that compared against coincident video-derived waterlines. Satellite-derived waterline errors found be affected extraction parameters, well oceanographic conditions at time image acquisition. erosion filter mask, which tends shift extracted seawards reduce bias, best solution dissipative site Beach. Moreover, 3 × size consistently shows higher accuracies than larger kernel. Although there was no combination showing skill for all dates, employment Automated Water Index images with shadows (AWEInsh) threshold = 0, filter, was, overall, this (average RMSE 5.96 m). Modified Normalised Difference (MDNWI) Otsu also led similar resulting offered good accuracies. In line other recent research efforts, our stresses solutions can applied automatically global level necessity adapt validate methodologies coastlines.

Язык: Английский

Процитировано

3

Shoreliner: A Sub-Pixel Coastal Waterline Extraction Pipeline for Multi-Spectral Satellite Optical Imagery DOI Creative Commons
Erwin W. J. Bergsma, Adrien N. Klotz,

Stéphanie Artigues

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(15), С. 2795 - 2795

Опубликована: Июль 30, 2024

Beach morphology can be observed over large spatio-temporal scales, and future shoreline positions predicted coastal risk indicators derived by measuring satellite-derived instantaneous waterlines. Long-term satellite missions, such as Landsat Sentinel-2, provide decades of freely available, high-resolution optical measurement datasets, enabling large-scale data collection relatively high-frequency monitoring sandy beaches. Satellite-Derived Shoreline (SDS) extraction methods are emerging increasingly being applied scales. SDS generally consists two steps: a mathematical relationship is to obtain ratio index or pixel classification machine-learning algorithms, the land/sea boundary then determined edge detection. Indexes from lake waterline detection, AWEI NDWI, often transferred towards shore without taking into account that these indexes inherently affected wave breaking. This overcome using filter indices, but this comes at computational cost. In paper, we carry out thorough evaluation between scene-dependent variables accuracy, well robust efficient thresholding method for land–water optimises radiometry. The developed beaches combines new purpose-built multispectral (SCoWI) with refinement Otsu’s threshold derive sub-pixel positions. Secondly, present pipeline, called Shoreliner, which SCoWI steps produce standardised outputs. Implemented on CNES High Performance Cluster (HPC), Shoreliner has been quantitatively validated Duck, NC, USA, simultaneous Sentinel-2 acquisitions in situ beach surveys 3-year period. Out six dates have acquisition an survey, five RMS error less than 10 m. performance processing demonstrates ability proposed extract reliable, stable addition, preliminary work transferability method, initially Level1C imagery, imagery. When evaluated Duck same day, imagery several minutes apart similar results detected waterline, within method’s precision. Future includes global validation Landsat’s 40 years combination higher resolution different locations around world.

Язык: Английский

Процитировано

3

Climate controls on longshore sediment transport and coastal morphology adjacent to engineered inlets DOI Creative Commons
Andrew W. Stevens, Peter Ruggiero, Kai Parker

и другие.

Coastal Engineering, Год журнала: 2024, Номер unknown, С. 104617 - 104617

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

3

Predicting Shoreline Changes Along the California Coast Using Deep Learning Applied to Satellite Observations DOI Creative Commons
Susheel Adusumilli, Nicholas Cirrito, Laura Engeman

и другие.

Journal of Geophysical Research Machine Learning and Computation, Год журнала: 2024, Номер 1(3)

Опубликована: Июнь 27, 2024

Abstract Understanding and predicting changes in shoreline location are critical for coastal planners. In situ monitoring is accurate but not widely available. Satellite observations of shorelines have global coverage, their accuracy predictive capacity been fully explored. Abundant beach surveys extensive wave Southern California provide a unique ground truth the interpretation satellite‐derived recently wetted waterlines. We combine 23 years waterline position estimates from satellite imagery with nearshore hindcasts tides to train test deep neural network (DNN). The trained DNN uses only waves as predictors at transects coverage predict width and, first time, seasonal average slopes. Beach hindcast using least fair skill (>0.3) 50% transects, where was calculated relative mean new survey data San Diego County. also predicted within 10 m (the nominal uncertainty shorelines) 64% lacking truth. slope agree qualitatively.

Язык: Английский

Процитировано

1

Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale – Corrigendum DOI Creative Commons
Marcan Graffin, Mohsen Taherkhani, Meredith Leung

и другие.

Cambridge Prisms Coastal Futures, Год журнала: 2024, Номер 2

Опубликована: Янв. 1, 2024

An abstract is not available for this content. As you have access to content, full HTML content provided on page. A PDF of also in through the 'Save PDF' action button.

Язык: Английский

Процитировано

0

Dynamics of Sandy Shorelines and Their Response to Wave Climate Change in the East of Hainan Island, China DOI Creative Commons
Wei Xu, Shenliang Chen,

Hongyu Ji

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(11), С. 1921 - 1921

Опубликована: Окт. 28, 2024

Beach erosion and shoreline dynamics are strongly affected by alterations in nearshore wave intensity energy, especially the context of global climate change. However, existing works do not thoroughly study evolution sandy coasts eastern Hainan Island, China, nor their responses to change driven variability. This focuses on open coast assesses evolutionary response variability over a 30-year period from 1994 2023, using an open-source software toolkit that semi-automatically identify shorelines (CoastSat v2.4) reanalysis datasets (ERA5). The area were extracted CoastSat, then tidal correction outlier performed for clearer shorelines. Combining changes conditions derived ERA5, further studied. findings reveal average long-term rate along Island is 0.03 m/year, with 44.8% transects experiencing 55.2% showing accretion. And distinct patterns emerge across different sections. Interannual marked alternating siltation cycles, while most sections experiences clear seasonal fluctuations, accretion typically occurring during summer winter. El Niño–Southern Oscillation (ENSO) cycles drive parameters including significant height, mean period, energy flux, direction, leading climate. multi-scale behavior responds distinctly ongoing triggered ENSO viability, Niño events resulting La Niña periods causing erosion. Notably, direction metric closely linked among all others. In conclusion, interplay escalating anthropogenic activities, natural processes, contributes We believe this can offer scientific reference prevention management strategies beaches, based analysis presented above.

Язык: Английский

Процитировано

0

Seasonal and Inter-Annual Shoreline Dynamics Along Tam Tien Beach, Central Vietnam: Insights from Satellite Imagery Analysis DOI Creative Commons

Trinh Hong Phuong,

Dinh Nhat Quang, Nguyen Trung Viet

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(12), С. 2179 - 2179

Опубликована: Ноя. 28, 2024

The shoreline of Quang Nam province in Central Vietnam has been experiencing persistent erosion, posing a significant threat to coastal communities and their livelihoods. This study analyzes eight years Landsat-7/8/9 Sentinel-2 images examine changes along Tam Tien Beach during the period 2015–2022, identifying patterns erosion deposition. analysis 75 transects over an 11 km stretch sandy revealed that approximately 84% exhibited with 44 60 showing retreat averaging around 2.5 m/year. results also demonstrated seasonal variability related monsoon regimes. translational rotational shift was examined, influence wave energy flux direction were clarified. applied Empirical Orthogonal Eigenfunction explore relationship between translation, rotation, rate change. Under expected future climate change, underlines vulnerability severe events. These findings are key predicting impacts, designing effective protection structures, mitigating managing resources.

Язык: Английский

Процитировано

0